Data Scientist

The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.ResponsibilitiesApply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysisIdentify digital placement-level strengths and weaknesses across simultaneous campaigns and geographiesDevelop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reportingCoordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA modelsIdentify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementationProvide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectivesRequirementsBachelor's degree in related fieldEntry-Level and/or College Internship experience Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendationsAdvanced knowledge of Microsoft ExcelGeneral understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics is preferredExperience with data orchestration tools such as Annalect Omni is preferredExcellent verbal, written and interpersonal communication skillsAbility to work independently and as part of a teamAbility to manage multiple projects simultaneously while meeting deadlinesRegression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.Data storytelling and presentation

Created: 2026-05-09